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Conference2016
Cluster Sensing Superpixel and Grouping
Rui Li*, Lu Fang
CVPRW 2016★ Featured
Abstract
Cluster Sensing Superpixel (CSS) method. Cluster centers have representativeness (local max pixel density) and isolation; CSS identifies centers via pixel density. Integrates superpixel cues into a bipartite graph segmentation framework, applied to microscopy image segmentation. ~5× faster than SOTA with comparable performance.